A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models. - Agnimitra Sengupta; Sudeepta Mondal; Adway Das; S. Ilgin Guler (CoRR, 2023)

HAct: Out-of-Distribution Detection with Neural Net Activation Histograms. - Sudeepta Mondal; Ganesh Sundaramoorthi (CoRR, 2023)

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks. - Shrenik Zinage; Sudeepta Mondal; Soumalya Sarkar (CoRR, 2024)

A Variational Information Theoretic Approach to Out-of-Distribution Detection. - Sudeepta Mondal; Zhuolin Jiang; Ganesh Sundaramoorthi (CoRR, 2025)